Triple

T12600392
Position Surface form Disambiguated ID Type / Status
Subject Wuppertal-Barmen station E300840 entity
Predicate hasStationCode P1289 FINISHED
Object KVB
KVB is the station code assigned to Wuppertal-Barmen railway station in Germany’s rail network.
E991914 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: KVB | Statement: [Wuppertal-Barmen station, hasStationCode, KVB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KVB
Context triple: [Wuppertal-Barmen station, hasStationCode, KVB]
  • A. KVB
    KVB is a French train protection and automatic speed control system used to enhance the safety of railway operations.
  • B. KCB
    KCB is the post-nominal abbreviation for Knight Commander of the Order of the Bath, a senior British order of chivalry.
  • C. KCB
    KCB is a British honorific post-nominal title signifying appointment as a Knight Companion of the Order of the Bath, one of the United Kingdom’s senior orders of chivalry.
  • D. C-Bank
    C-Bank is an American freestyle and dance music artist best known for the 1983 club hit "One More Shot."
  • E. VIBK
    VIBK is the ICAO airport code for Nal Airport, a regional airfield serving the Bikaner area in Rajasthan, India.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: KVB
Triple: [Wuppertal-Barmen station, hasStationCode, KVB]
Generated description
KVB is the station code assigned to Wuppertal-Barmen railway station in Germany’s rail network.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: KVB
Target entity description: KVB is the station code assigned to Wuppertal-Barmen railway station in Germany’s rail network.
  • A. KVB
    KVB is a French train protection and automatic speed control system used to enhance the safety of railway operations.
  • B. KCB
    KCB is a British honorific post-nominal title signifying appointment as a Knight Companion of the Order of the Bath, one of the United Kingdom’s senior orders of chivalry.
  • C. KCB
    KCB is the post-nominal abbreviation for Knight Commander of the Order of the Bath, a senior British order of chivalry.
  • D. C-Bank
    C-Bank is an American freestyle and dance music artist best known for the 1983 club hit "One More Shot."
  • E. VIBK
    VIBK is the ICAO airport code for Nal Airport, a regional airfield serving the Bikaner area in Rajasthan, India.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d7bdea2ca881908f379526c13b1145 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d954d1f6ac8190ab21ca7bcbc80129 completed April 10, 2026, 7:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f65ec92c6c8190bd2d193e70940407 completed May 2, 2026, 8:30 p.m.
NEDg Description generation batch_69f65faf33e0819092df07a5fa98cb73 completed May 2, 2026, 8:33 p.m.
NED2 Entity disambiguation (via description) batch_69f66036f520819098af75cd5578d573 completed May 2, 2026, 8:36 p.m.
Created at: April 9, 2026, 5:09 p.m.